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TopNewBestAskShowJobs
1.
Learning from failure to tackle hard problems (blog.ml.cmu.edu)
125 points
djoldman
7 months ago
26 comments
2.
Diffusion Beats Autoregressive in Data-Constrained Settings (blog.ml.cmu.edu)
72 points
djoldman
9 months ago
14 comments
3.
GraphLab: A New Parallel Framework for Machine Learning (graphlab.ml.cmu.edu)
37 points
helwr
15 years ago
1 comment
4.
GraphLab: A New Parallel Framework for Machine Learning (graphlab.ml.cmu.edu)
22 points
helwr
16 years ago
3 comments
5.
Read the Web: Never Ending Language Learner (rtw.ml.cmu.edu)
9 points
T-A
11 years ago
discuss
6.
NELL: Never-Ending Language Learning (rtw.ml.cmu.edu)
6 points
espeed
9 years ago
discuss
7.
Yahoo Labs Announces $10M Partnership with CMU's Machine Learning Dept (ml.cmu.edu)
4 points
kjhughes
12 years ago
discuss
8.
Path Length Bounds for Gradient Descent (blog.ml.cmu.edu)
4 points
QuitterStrip
7 years ago
discuss
9.
Ultra-Wide Deep Nets and the Neural Tangent Kernel (NTK) (blog.ml.cmu.edu)
4 points
headalgorithm
7 years ago
discuss
10.
An experimental design perspective on model-based reinforcement learning (blog.ml.cmu.edu)
3 points
vrm
4 years ago
discuss
11.
Learning DAGs with Continuous Optimization (blog.ml.cmu.edu)
3 points
tmfi
5 years ago
discuss
12.
Inherent Tradeoffs in Learning Fair Representations (blog.ml.cmu.edu)
3 points
EvgeniyZh
6 years ago
discuss
13.
Building Machine Learning Models via Comparisons (blog.ml.cmu.edu)
3 points
QuitterStrip
7 years ago
discuss
14.
Ultra-Wide Deep Nets and the Neural Tangent Kernel (NTK) (blog.ml.cmu.edu)
3 points
wei_jok
7 years ago
discuss
15.
Building Machine Learning Models via Comparisons (blog.ml.cmu.edu)
3 points
stablemap
7 years ago
discuss
16.
Human-Centered Reinforcement Learning [pdf] (ml.cmu.edu)
2 points
ankitg12
9 days ago
discuss
17.
When Should AI Step Aside?: Teaching Agents When Humans Want to Intervene (blog.ml.cmu.edu)
2 points
djoldman
2 months ago
discuss
18.
Read the Web (rtw.ml.cmu.edu)
2 points
zoowar
14 years ago
discuss
19.
Counterfactual predictions under runtime confounding (blog.ml.cmu.edu)
2 points
DevilMadeMeDoIT
5 years ago
discuss
20.
An Inferential Perspective on Federated Learning (blog.ml.cmu.edu)
2 points
tmfi
5 years ago
discuss
21.
Experiments with the ICML 2020 Peer-Review Process (blog.ml.cmu.edu)
2 points
EvgeniyZh
6 years ago
discuss
22.
Contextual Parameter Generation for Neural Machine Translation (blog.ml.cmu.edu)
2 points
oyashius
7 years ago
discuss
23.
Massively Parallel Hyperparameter Optimization (blog.ml.cmu.edu)
2 points
jonbaer
7 years ago
discuss
24.
NELL: Never-Ending Language Learning (rtw.ml.cmu.edu)
2 points
jonbaer
10 years ago
discuss
25.
NELL: Never-Ending Language Learning (rtw.ml.cmu.edu)
1 point
jonbaer
12 years ago
discuss
26.
Large-scale Automated Forecasting using Fractals (ml.cmu.edu)
1 point
nerdben
13 years ago
discuss
27.
NELL: Never-Ending Language Learning (rtw.ml.cmu.edu)
1 point
denzil_correa
13 years ago
discuss
28.
Read the Web (rtw.ml.cmu.edu)
1 point
olalonde
14 years ago
discuss
29.
Behavior-Driven AI Development (blog.ml.cmu.edu)
1 point
cabreraalex
3 years ago
discuss
30.
Two Experiments in Peer Review: Posting Preprints and Citation Bias (blog.ml.cmu.edu)
1 point
EvgeniyZh
4 years ago
discuss
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